Global perspectives on advancing photovoltaic system performance—A state-of-the-art review

Rehman, Tauseef-ur; Qaisrani, Mumtaz A.; Shafiq, M. Basit; Baba, Yousra Filali; Aslfattahi, Navid; Shahsavar, Amin; Cheema, Taqi Ahmad; Park, Cheol Woo

doi:10.1016/j.rser.2024.114889

Renewable and Sustainable Energy Reviews

2025

DOI: 10.1016/j.rser.2024.114889

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Global perspectives on advancing photovoltaic system performance—A state-of-the-art review

Tauseef-ur Rehman,

Mumtaz A. Qaisrani,

M. Basit Shafiq

et al.

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2025

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Cited by 2 publications

References 253 publications

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Performance optimization of photovoltaic thermoelectric systems based on phase change materials

Lv,

Liu,

Yang

2025

Renewable Energy

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Performance optimization of photovoltaic thermoelectric systems based on phase change materials

Lv,

Liu,

Yang

2025

Renewable Energy

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Quantum Marine Predator Algorithm: A Quantum Leap in Photovoltaic Efficiency Under Dynamic Conditions

Fergani,

Himeur,

Mechgoug

et al. 2024

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The Quantum Marine Predator Algorithm (QMPA) presents a groundbreaking solution to the inherent limitations of conventional Maximum Power Point Tracking (MPPT) techniques in photovoltaic systems. These limitations, such as sluggish response times and inadequate adaptability to environmental fluctuations, are particularly pronounced in regions with challenging weather patterns like Sunderland. QMPA emerges as a formidable contender by seamlessly integrating the sophisticated hunting tactics of marine predators with the principles of quantum mechanics. This amalgamation not only enhances operational efficiency but also addresses the need for real-time adaptability. One of the most striking advantages of QMPA is its remarkable improvement in response time and adaptability. Compared to traditional MPPT methods, which often struggle to keep pace with rapidly changing environmental factors, QMPA demonstrates a significant reduction in response time, resulting in up to a 30% increase in efficiency under fluctuating irradiance conditions for a resistive load of 100 Ω. These findings are derived from extensive experimentation using NASA’s worldwide power prediction data. Through a detailed comparative analysis with existing MPPT methodologies, QMPA consistently outperforms its counterparts, exhibiting superior operational efficiency and stability across varying environmental scenarios. By substantiating its claims with concrete data and measurable improvements, this research transcends generic assertions and establishes QMPA as a tangible advancement in MPPT technology.

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Global perspectives on advancing photovoltaic system performance—A state-of-the-art review

Cited by 2 publications

References 253 publications

Performance optimization of photovoltaic thermoelectric systems based on phase change materials

Performance optimization of photovoltaic thermoelectric systems based on phase change materials

Quantum Marine Predator Algorithm: A Quantum Leap in Photovoltaic Efficiency Under Dynamic Conditions

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